Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Iiro Rastas"'
Autor:
Jenna Kanerva, Filip Ginter, Li-Hsin Chang, Iiro Rastas, Valtteri Skantsi, Jemina Kilpeläinen, Hanna-Mari Kupari, Aurora Piirto, Jenna Saarni, Maija Sevón, Otto Tarkka
Publikováno v:
Natural Language Engineering. :1-35
In this paper, we study natural language paraphrasing from both corpus creation and modeling points of view. We focus in particular on the methodology that allows the extraction of challenging examples of paraphrase pairs in their natural textual con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e644f2dfa4d510162d49dba92b4f8afa
https://doi.org/10.1017/s1351324923000086
https://doi.org/10.1017/s1351324923000086
Autor:
Iiro Rastas, Yann Ciarán Ryan, Iiro Lassi Ilmari Tiihonen, Mohammadreza Qaraei, Liina Repo, Rohit Babbar, Eetu Mäkelä, Mikko Tolonen, Filip Ginter
Publikováno v:
University of Helsinki
In this paper, we describe a BERT model trained on the Eighteenth Century Collections Online (ECCO) dataset of digitized documents. The ECCO dataset poses unique modelling challenges due to the presence of Optical Character Recognition (OCR) artifact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105be5ed8da111481a9c3990c1cd26b8
https://doi.org/10.18653/v1/2022.lchange-1.7
https://doi.org/10.18653/v1/2022.lchange-1.7
Publikováno v:
Aalto University
Machine classification of historical books into genres is a common task for NLP-based classifiers and has a number of applications, from literary analysis to information retrieval. However it is not a straightforward task, as genre labels can be ambi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1456ce557af529dbd0113b7998d76492
https://research.aalto.fi/en/publications/92f7dee1-c61b-4817-9980-c8affb7adab0
https://research.aalto.fi/en/publications/92f7dee1-c61b-4817-9980-c8affb7adab0
